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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2948
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    Explanations

    phrases related to large quantities or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of large quantities of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imen
    -0.83
    Adv
    -0.71
    mentioned
    -0.71
    cial
    -0.68
    occup
    -0.65
    Condition
    -0.64
    tein
    -0.64
    Sac
    -0.62
     Examination
    -0.61
    ãĥ¤
    -0.60
    POSITIVE LOGITS
     dollars
    0.98
    aires
    0.90
    aire
    0.88
     billions
    0.87
     Millions
    0.85
     millions
    0.84
     euros
    0.82
     ILCS
    0.79
     hectares
    0.78
     lashes
    0.77
    Activations Density 0.025%

    No Known Activations